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  • 标题:Minimizing Distortion in Steganog-Raphy Based on Image Feature
  • 本地全文:下载
  • 作者:Dong Wu
  • 期刊名称:International Journal of Computer Science & Information Technology (IJCSIT)
  • 印刷版ISSN:0975-4660
  • 电子版ISSN:0975-3826
  • 出版年度:2019
  • 卷号:11
  • 期号:1
  • 页码:1-9
  • DOI:10.5121/ijcsit.2019.11106
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:There are two defects in WOW. One is image feature is not considered when hiding information throughminimal distortion path and it leads to high total distortion. Another is total distortion grows too rapidlywith hidden capacity increasing and it leads to poor anti-detection when hidden capacity is large. To solvethese two problems, a new algorithm named MDIS was proposed. MDIS is also based on the minimizingadditive distortion framework of STC and has the same distortion function with WOW. The feature thatthere are a large number of pixels, having the same value with one of their eight neighbour pixels and themechanism of secret sharing are used in MDIS, which can reduce the total distortion, improve the antidetection and increase the value of PNSR. Experimental results showed that MDIS has better invisibility,smaller distortion and stronger anti-detection than WOW.
  • 关键词:Information Hiding; Minimal Distortion; Secret Sharing; Eight Neighbour Pixels; PSNR; Anti;Detection
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